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Description
- GPU-Accelerated Parallel Processing
- 745 MHz GPU - Up to 875 GHz with Boost
- 2880 CUDA Cores
- 12GB GDDR5 RAM
- 3 GHz Effective Memory Clock Speed
- 288 GB/s Memory Bandwidth
- 4.29 TFLOPs Singe Precision Performance
- 1.43 TFLOPs Double Precision Performance
- Supports CUDA and Other APIs
- PCI Express 3.0 x16 Interface
The Tesla K40 GPU Accelerator with active cooling from Nvidia is a GPU with no video outputs designed exclusively for providing acceleration to assist computational intensive tasks such as transcoding video, rendering 3D models, cryptography, and analysis of complex data sets. It features a 745 MHz core which can be boosted (overclocked) by the end user up to 875 MHz, and has 2880 Kepler generation CUDA cores (stream processors) which allow it to perform hundreds of computations simultaneously. To ensure data moves to and from the processors as efficiently as possible, the card features 12 GB of GDDR5 RAM over a 384-bit memory interface. A 750 MHz native memory clock speed gets effectively boosted to 3 GHz thanks to the fact GDDR5 type memory moves data at four words per cycle. Altogether this yields a memory bandwidth of 288 GB/s.
- 4.3 TFLOPs Single Precision Performance
- The card boasts a double precision (64-bit length) benchmark of 1.43 TFLOPs (trillion floating point operations per second), and a single precision (32-bit length) benchmark of 4.3 TFLOPs. Floating point math is commonly found in applications such as 3D modeling as well as certain forms of data analytics
- Supports CUDA and Other APIs
- APIs provide the software interface that exposes applications to the compute power of the GPU for processing-intensive tasks, including transcoding video, cryptography, analysis of complex data sets, rendering 3D environments, CAD modeling, and more
- SMX (Streaming Multiprocessor)
- Redesigned architecture with more cores, delivers up to 3x more performance per watt than the SM technology in previous-generation Nvidia Fermi GPUs
- Dynamic Parallelism
- Enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the CPU, this greatly simplifies parallel programming
- Hyper-Q
- Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU. This dramatically increases GPU utilization while reducing CPU idle times
- Multi-Language SDKs
- For software developers, SDKs are available for OpenACC, CUDA, C, C++ and Fortran
- ECC Error Correction
- Protects the data integrity from interference caused by cosmic background radiation
- System Monitory Features
- Integrates the GPU subsystem with the host system's monitoring and management capabilities, such as IPMI or OEM-proprietary tools. IT staff can now manage the GPU processors in the computing system using widely used cluster/grid management solutions
- L1 and L2 Caches
- Accelerates algorithms such as physics solvers, ray tracing, and sparse matrix multiplication where data addresses are not known beforehand
- Tesla GPUBoost
- End-user can convert power headroom to higher clocks and achieve even greater acceleration for various computationally-intensive workloads on Tesla K40
- Active Cooling
- Active cooling means the card can maintain a more consistent temperature compared to passive solutions, facilitating operation at higher clock speeds for longer durations
- Quad Data Rate (QDR) GDDR5 RAM
- Because GDDR5 RAM can transfer up to four words per cycle, as opposed to one word per cycle with traditional RAM, the effective data rate is quadrupled, allowing this card to process data transactions as quickly as if it had a 3.0 GHz memory clock speed
- PCI Express 3.0 x16 Support
- Provides twice the bandwidth of PCI Express 2.0; for example, an x8 PCI Express 3.0 slot has the same bandwidth as a x16 PCI 2.0 slot. In addition, the card remains backward-compatible with motherboards using earlier generations of PCI Express
UPC: 857905002963
| Performance | |
|---|---|
| GPU | 1 x Kepler GK110B |
| GPU Clock | Base: 745 MHz With Boost: 810 / 875 MHz |
| Stream Processors (CUDA Cores) | 2880 |
| Memory | 12 GB |
| Memory Type | GDDR5 |
| Memory Clock | Actual: 750 MHz Effective (QDR): 3 GHz |
| Memory Interface | 384-bit |
| Memory Bandwidth | 288 GB/s |
| BIOS | 2 Mbit serial ROM BAR1 Size: 16 GB |
| Floating Point Performance | Double Precision: 1.43 TFLOPs Single Precision: 4.29 TFLOPs |
| System Requirements | |
|---|---|
| Software | Windows (32- and 64-bit): 8.1, 7, Vista, XP, Server 2008 R2 Windows (64-bit only): Server 2012 R2 Linux (x86 64-bit and ARM): Support varies depending on distribution |
| Hardware | 1 x Free PCI-E x16 slot for electrical interface (PCI-E 3.0 x16 recommended for best performance) 2 x Free PCI-E slots physical 1 x 6-pin PCI-E power connector 1 x 8-pin PCI-E power connector |
| General | |
|---|---|
| Thermal Solution | Active fansink |
| Power Consumption | Maximum: 235 W Idle: 20.6 W |
| MTBF | GB@ 35C: 282,847 hours GF@ 35C: 252,222 hours |
| Form Factor | Dual Slot: Full-height, full-length (Tesla Form Factor B) |
| Dimensions | 4.4 x 10.5" x dual slot / 111.2 x 267 mm x dual slot |
| Weight | 29.1 oz / 826 g |
| Packaging Info | |
|---|---|
| Package Weight | 3.75 lb |
| Box Dimensions (LxWxH) | 17.5 x 7.9 x 4.3" |
In the Box
NVIDIA Tesla K40 GPU Accelerator (Active Cooling)
- Limited 3-Year Warranty
Bulk Discount
| Quantity | Price |
| 2 | ₹ 483830.9 |
| 3-5 | ₹ 478893.85 |
| 5-10 | ₹ 469019.75 |
| 10+ | ₹ 459145.65 |
Bulk discount will be automatically applied during checkout based on quantity.